scholarly journals An efficient intelligent data fusion algorithm for wireless sensor network

2021 ◽  
Vol 183 ◽  
pp. 418-424
Author(s):  
Haitao Wang ◽  
Lihua Song ◽  
Jue Liu ◽  
Tingting Xiang
Keyword(s):  
Wireless Sensor Network ◽  
Data Fusion ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Fusion Algorithm

scholarly journals A Reliability Optimization Algorithm for Wireless Sensor Network

2018 ◽  
Vol 14 (06) ◽  
pp. 138
Author(s):  
Qiuming Zhang ◽  
Jing Luo
Keyword(s):  
Wireless Sensor Network ◽  
Data Fusion ◽  
Sensor Network ◽  
Extreme Learning Machine ◽  
Optimization Algorithm ◽  
Wireless Sensor ◽  
Reliability Optimization ◽  
Fusion Algorithm ◽  
Total Energy Consumption ◽  
Learning Machine

<p class="0abstract"><span lang="EN-US">Aiming at the reliability optimization algorithm based on wireless sensor network, a data fusion algorithm based on extreme learning machine for wireless sensor network was proposed according to the temporal spatial correlation in data collection process. After analyzing the principles, design ideas and implementation steps of extreme learning machine algorithm, the performance and results were compared with traditional BP algorithm, LEACH algorithm and RBF algorithm in simulation environment. The simulation results showed that the data fusion optimization algorithm based on the limit learning machine for wireless sensor network was reliable. It improved the efficiency of fusion and the comprehensive reliability of the network. Thus, it can prolong the life cycle and reduce the total energy consumption of the network.</span></p>

scholarly journals Research on the Wireless Sensor Network Data Fusion Technology

2013 ◽  
Vol 756-759 ◽  
pp. 751-755 ◽  
Author(s):  
Ya Qin Fan ◽  
Yu Ding ◽  
Mei Lin Liu ◽  
Xin Zhang
Keyword(s):  
Wireless Sensor Network ◽  
Data Fusion ◽  
Sensor Network ◽  
Software Tool ◽  
Wireless Sensor ◽  
Fusion Technology ◽  
Fusion Algorithm ◽  
Arithmetic Average ◽  
Redundant Data ◽  
Save Energy

Wireless sensor network ( WSN ) is a kind of energy constrained network, by using data fusion technology, the elimination of redundant data, can save energy, prolong the network life purpose. Data fusion in wireless sensor network can realize different protocol layers, Based on the introduction of wireless sensor network and data fusion related knowledge, prove that the arithmetic mean method is effective, and use OPNET software tool for network simulation, finally, analysis results and conclude, verify effects of the arithmetic average fusion algorithm for wireless sensor network.

Research on the Data Fusion of Wireless Sensor Network Based on Credibility

2013 ◽  
Vol 341-342 ◽  
pp. 1113-1115 ◽  
Author(s):  
He Pan ◽  
Tai Hao Li
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Data Fusion ◽  
Sensor Network ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Simulation Test ◽  
Fusion Algorithm ◽  
Fusion Detection

The research on design of data fusion with safety credibility is a hot problem in wireless sensor networks. This paper presents a design of wireless sensor data fusion based on reputation, through the combination of data sensing and data fusion detection, it complete the data fusion algorithm and carries out the simulation test to verify the validity of this research.

scholarly journals Robust and Secure Data Fusion Algorithm Based on Intelligent Sensing in Wireless Sensor Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Yong Cheng ◽  
Jun Wang ◽  
Shuqiang Ji ◽  
Ling Yang
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Data Fusion ◽  
Data Acquisition ◽  
Sensor Network ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Fusion Algorithm ◽  
Space Correlation ◽  
Secure Data

Presently, the wireless sensor network (WSN) plays an important role in smart farming. However, due to the limitation of wireless sensor network resources, the time and space correlation of data acquisition is strong. In order to reduce the number of nodes participating in data compression, the robust and secure data fusion algorithm based on intelligent sensing is proposed. The algorithm can divide the whole network into many clusters. In order to maintain energy balance of nodes in the cluster, the probability of each node in each cluster participating in each round of data collection is computed according to the residual energy of the node. On the sink node, the number of sampling rounds of joint reconstruction of collected data is designated according to the application requirements and reconstruction accuracy requirements, and the number of nodes participating in is further reduced. The simulation results show that the number of nodes participating in the data collection of the proposed scheme in this paper is lower than that of the ordinary intelligent sensing LEACH data acquisition scheme. Meanwhile, the proposed scheme can dramatically extend the network lifetime. This paper provides an insight into various needs of WSN used in agriculture and challenges involved in the deployment of WSN.

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